The official Oso MCP server has been launched to facilitate the integration of AI tools with the Oso Cloud API, aiding in learning Polar, debugging applications, and developing new features. The Model Context Protocol (MCP) standardizes interactions between LLMs and external tools, fostering a plugin-style ecosystem that allows users to utilize various tools and resources with any compatible client. This server helps AI tools connect with the Oso platform to explain policies, answer questions, or write tests. To set up, users create an API key and configure their AI clients. MCP supports evolving developments like Streamable HTTP transport for stateless servers, and the Oso team is open to feedback on policy testing, fact querying, and authorization debugging to enhance the server's capabilities.